The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP E-Learning

The Generative AI Cloud Odyssey Training explores how the combination of cloud computing and artificial intelligence drives groundbreaking innovation. You will learn how organizations can leverage AWS, Google Cloud Platform (GCP), and Microsoft Azure to build, train, and deploy generative AI models at scale.

Key topics include:

• Introduction to Generative AI and core concepts
• Large Language Models (LLMs) and their role in modern AI
• Deep learning, neural networks, and natural language processing (NLP)
• Overview of cloud-based AI services and tools (AWS, Azure, and GCP)
• Setting up cloud environments for AI workloads
• Leveraging data, pipelines, and compute resources for AI projects
• Automating model training and deployment
• Security, compliance, and ethical considerations in AI on the cloud
• Multi-cloud and cross-platform strategies
• Best practices for scalability, performance, and cost optimization

By the end of this training, you will have a solid foundation in generative AI concepts and be able to leverage the power of leading cloud platforms to deliver innovative AI solutions.

The LearningKit is divided into the following four tracks:

• Track 1: Generative AI for Innovation and Business Value
• Track 2: Exploring Generative AI on AWS
• Track 3: Exploring Generative AI on Azure
• Track 4: Exploring Generative AI on GCP

This LearningKit with more than 30 hours of learning is divided into three tracks:

Demo Generative AI Cloud Odyssey Training

Course content

Track 1: Generative AI for Innovation and Business Value

E-learning courses:

• An Introduction to Generative AI Concepts
• Generative Modeling Foundations
• Getting Started with Large Language Models (LLMs)
• Exploring the Depths of Large Language Models in Generative AI
• Leveraging Generative AI for Business

Assessment:

• Final Exam: Demystifying Generative AI

Track 2: Exploring Generative AI on AWS

E-learning courses:

• Generative AI on AWS: Getting Started
• Generative AI on AWS: Building GenAI Models with Amazon SageMaker
• Generative AI on AWS: Building GenAI Models with Amazon Bedrock
• Generative AI on AWS: Generating Code with Amazon CodeWhisperer
• Generative AI on AWS: Generating Speech with Amazon Polly
• Generative AI on AWS: Creating Intelligent Chatbots
• Generative AI on AWS: Deploying & Managing GenAI Services on AWS

Assessment:

• Final Exam: Generative AI on AWS

Track 3: Exploring Generative AI on Azure

E-learning courses:

• Introduction to Generative AI on Azure
• Generative AI with Azure OpenAI
• Deep Dive into Generative AI with Azure OpenAI
• Generative AI & the Azure Bot AI Service

Assessment:

• Final Exam: Generative AI on Azure

Track 4: Exploring Generative AI on GCP

E-learning courses:

• Generative AI on GCP: An Introduction
• Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI
• Generative AI on GCP: Harnessing Generative AI with Vertex AI
• Generative AI on GCP: Deep Dive Into Generative AI Studio
• Generative AI on GCP: Building Generative AI-powered Apps in GCP

Assessment:

• Final Exam: Generative AI on GCP